28 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Classification models trained on ImageNet. Keras. | 23K | |
| Segmentation models with pretrained backbones. Keras and TensorFlow Keras. | 19K | |
| Fork of TensorFlow accelerated by DirectML | 2K | |
| Easy to use Keras Machine Learning Model | 1K | |
| State-of-the-art face detection and landmarks localization | 878 | |
| Discover augmentation strategies tailored for your dataset | 862 | |
| Discover relevant information about categorical data with entity embeddings usin... | 800 | |
| a framework for Automated Classification of Medical Images | 795 | |
| Deep Learning for humans. Keras with highly scalable, high per... | 757 | |
| Breast cancer prediction using deep learning | 672 | |
| Wrapper for Keras with support to easy multimodal data and models loading and ha... | 670 | |
| VAE package for reproducible generative models of biological data | 651 | |
| NTAP - CSSL | 414 | |
| library to manage image data | 388 | |
| An Open Source Machine Learning Framework for Everyone | 352 | |
| NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit,... | 289 | |
| 266 | ||
| Training code and pre-trained models for Neural Cellular Automata on different d... | 256 | |
| Predict the Genre for each 10-second interval of the video. | 245 | |
| Pipeline for detecting vehicles and pedestrians and extract features. | 210 | |
| Colorize and recolorize large images | 209 | |
| Create TensorIO model bundles | 192 | |
| An Open Source Machine Learning Framework for Everyone | 171 | |
| Cegon Technologies ML/DL/NLP dependency pack | 113 | |
| Recognition implement with MTCNN and VGGFace | 109 | |
| Cegon Technologies ML/DL/NLP dependency pack | 107 | |
| Feature extraction for categorical variables | 101 | |
| TensorFlow is an open source machine learning framework for everyone. | 56 |
